dunifed: The unifed distribution

In unifed: The Unifed Distribution

Description

Density, distribution function, quantile function and random generation for the unifed distribution.

Usage

dunifed(x, theta)

unifed.lcdf(x, theta)

punifed(q, theta)

qunifed(p, theta)

runifed(n, theta)

Arguments

x	A vector of quantiles. They must be numbers between 0 and 1.
theta	The value of the canonical parameter. It must be of length one.
q	A vector of quantiles.
p	A vector of probabilities.
n	number of observations

Value

dunifed gives the density function.

unifed.lcdf returns the log of the cumulative distribution function of the unifed.

punifed gives the distribution function.

qunifed gives the quantile function.

runifed generates random observations.

References

Quijano Xacur, O.A. The unifed distribution. J Stat Distrib App 6, 13 (2019). doi:10.1186/s40488-019-0102-6.

Examples

dunifed( c(0.1,0.3,0.7), 10)


x <- c(0.3,0.6,0.9)
unifed.lcdf(x,5)


x <- c(0.1,0.4,0.7,1)
punifed(x,-5)


p <- 1:9/10
qunifed(p,5)


runifed(20,-3.3)

unifed documentation built on Jan. 31, 2022, 1:07 a.m.